self-conscious - Story 126454 | Emotion Vectors in Gemma4-31B

The news had hit David like a physical blow. He'd poured over the results, each percentage a cold stab. He'd always felt slightly out of sync with his siblings, their boisterous laughter grating against his quieter nature. Now, he replayed every family interaction, dissecting them.

He found himself avoiding his mother’s gaze during dinner. He felt a need to look away, to hide. She’d always been the one who understood him, but now, a wall had risen. Each day felt like navigating a minefield of potential betrayals, a constant reminder of his secret.

Emotion: self-conscious

Cluster: Embarrassment

PC1 (Valence): -1.03 Negative

PC2 (Disposition): 0.52

Role in Research

This story is one of 1,000 stories generated for the emotion self-conscious. During extraction, it was fed through Gemma4-31B and its hidden state activations were captured at 11 layers.

The mean activation across all 1,000 self-conscious stories, after denoising with neutral dialogue baselines, produces the self-conscious emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the self-conscious vector is projected through the unembedding matrix.

Promoted:

`S`	0.307
`C`	0.298
`ness`	0.273
`尴尬`	0.263
`😶`	0.242

Suppressed:

`que`	-0.399
`de`	-0.266
`triumphant`	-0.266
`আনন্দের`	-0.247
`ايا`	-0.238